380 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- H'ector J. Hort'ua2 profiles4 · h 3
- Héctor J. Hortúa2 profiles4 · h 6
- W. Herrera4 · h 12
- Shirley Gómez Páez3 profiles3 · h 3
- Carlos Eduardo Maldonado2 · h 7
- J. E. García-Farieta2 · h 3
- P. Burset2 · h 21
- Alfredo Levy Yeyati1 · h 4
- Andrés Mora‐Valencia1 · h 13
- A. Yeyati1 · h 41
- Camilo Martínez1 · h 3
- Cecilia Murrugarra1 · h 6
- Universidad Nacional de ColombiaCO8 papers
- Escuela Colombiana de Ingenieria Julio GaravitoCO4 papers
- Aalto UniversityFI2 papers
- Instituto de Astrofísica de CanariasES2 papers
- Liverpool John Moores UniversityGB2 papers
- Universidad Autónoma de MadridES2 papers
- Universidad de La LagunaES2 papers
- Universidad de Los AndesCO2 papers
- Abington Memorial HospitalUS1 paper
- Adler PlanetariumUS1 paper
- Ben-Gurion University of the NegevIL1 paper
- Boğaziçi UniversityTR1 paper
17 papers
Bayesian Inference of Primordial Magnetic Field Parameters from CMB with Spherical Graph Neural Networks
Juan Alejandro Pinto Castro, Héctor J. Hortúa, Jorge Enrique García-Farieta +1
Deep learning has emerged as a transformative methodology in modern cosmology, providing powerful tools to extract meaningful physical information from complex astronomical dataset…
Conditional Diffusion-Flow models for generating 3D cosmic density fields: applications to f(R) cosmologies
Julieth Katherine Riveros, Paola Saavedra, Hector J. Hortua +2
Next-generation galaxy surveys promise unprecedented precision in testing gravity at cosmological scales. However, realising this potential requires accurately modelling the non-li…
Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imaging
Daniela L. Ramos, Hector J. Hortua
Colorectal polyps are generally benign alterations that, if not identified promptly and managed successfully, can progress to cancer and cause affectations on the colon mucosa, kno…
A comprehensive modelling and experimental approach for damped oscillations in U-tubes via Easy JavaScript Simulations
Fredy A Orjuela, Jorge Enrique García-Farieta, Héctor J Hortúa +1
In recent years, science simulations have become popular among educators due to their educational usefulness, availability, and potential for increasing the students' knowledge on…
Forecasting VIX using Bayesian Deep Learning
Héctor J. Hortúa, Andrés Mora-Valencia
Recently, deep learning techniques are gradually replacing traditional statistical and machine learning models as the first choice for price forecasting tasks. In this paper, we le…
Bayesian deep learning for cosmic volumes with modified gravity
Jorge Enrique García-Farieta, Héctor J Hortúa, Francisco-Shu Kitaura
The new generation of galaxy surveys will provide unprecedented data allowing us to test gravity at cosmological scales. A robust cosmological analysis of the large-scale structure…
The NANOGrav 15-year Data Set: Constraints on Supermassive Black Hole Binaries from the Gravitational Wave Background
Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald +111
The NANOGrav 15-year data set shows evidence for the presence of a low-frequency gravitational-wave background (GWB). While many physical processes can source such low-frequency gr…
About Jordan and Einstein frames: a study in inflationary magnetogenesis
Joel Velásquez, Héctor J. Hortua, Leonardo Castañeda
There has been considerable interest in the community to understand if the Einstein and Jordan frames are either physically equivalent to each other or if there exists a preference…
Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks
Héctor J. Hortúa, Luz Ángela García, Leonardo Castañeda C
Methods based on Deep Learning have recently been applied on astrophysical parameter recovery thanks to their ability to capture information from complex data. One of these methods…
Green's functions in quantum mechanics courses
William J. Herrera, Herbert Vinck-Posada, Shirley Gomez Paez
Green's functions in Physics have proven to be a valuable tool for understanding fundamental concepts in different branches, such as electrodynamics, solid-state and many -body pro…
Total Novel and Complexity. Literature and Complexity Science
Carlos Eduardo Maldonado
A strong link between complexity theory and literature is possible, i.e. feasible, under one proviso, namely that total novels be considered. However, neither in literature at larg…
A Green's function approach to Topological Insulator junctions with magnetic and superconducting regions
Oscar E. Casas, Shirley Gómez Páez, William J. Herrera
This work presents a Green's function approach, originally implemented in graphene with well-defined edges, to the surface of a strong 3D Topological Insulator (TI) with a sequence…
Dirac point formation revealed by Andreev tunneling in superlattice-graphene/superconductor junctions
Shirley Gómez Páez, Pablo Burset, Camilo Martínez +2
A graphene superlattice is formed by a one-dimensional periodic potential and is characterized by the emergence of new Dirac points in the electronic structure. The group velocity…
Subgap states in two dimensional spectroscopy of unconventional superconductors using graphene
Oscar E. Casas, Shirley Gómez Páez, Alfredo Levy Yeyati +2
The two-dimensional nature of graphene makes it an ideal platform to explore proximity-induced unconventional planar superconductivity and the possibility of topological supercondu…
A General Scheme Implicit Force Control for a Flexible-Link Manipulator
Cecilia Murrugarra, Osberth De Castro, Juan Carlos Grieco +1
In this paper we propose an implicit force control scheme for a one-link flexible manipulator that interact with a compliant environment. The controller was based in the mathematic…
Noise cross-correlation and Cooper pair splitting efficiency in multi-teminal superconductor junctions
J. A. Celis Gil, S. Gomez P., William J. Herrera
We analyze the non-local shot noise in a multi-terminal junction formed by two Normal metal leads con- nected to one superconductor. Using the cross Fano factor and the shot noise,…
Positive Affirmation of Non-Algorithmic Information Processing
Carlos Eduardo Maldonado
One of the most compelling problems in science consists in understanding how living systems process information. After all, the way they process information defines their capacitie…